Introduction to Python for Data Science

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22837 reviews

Course Description

This course is part of the Microsoft Professional Program Certificate in Data Science.

Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier.

In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.
Reviews 9/10 stars
802 Reviews for Introduction to Python for Data Science

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Student

4/10 starsCompleted
3 years, 1 month ago
Instructor was excellent: clear, concise, and thorough. Even as an introductory class, though, this course struck me a rather basic and cursory coverage of Python. Regular section assessments were good, but you really should provide a mechanism for feedback on the Final Exam to let students know where they lost points.
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Kelvin Chow profile image
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Kelvin Chow

10/10 starsCompleted
4 days ago
No offence, instructor on screen is distracting, his English slang may not be understood by some, can learn from SQL course on vedio presentation style. In exercise, some instruction are not clear, have typo mistake or missing words. Else, it is a great course, as I learn a lot here. Thanks
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Steve Suraci profile image
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Steve Suraci

4/10 starsCompleted
3 weeks, 5 days ago
The course seemed great throughout the presentation modules. Then, when you get to the Final Lab and the Final Exam, you are completely blindsided. The modules were not adequately developed to prepare you for the finals. I had 100% through all modules. The Final Lab required hours of Google research to complete but was at least attainable because there was no time limit. I struggled to a 98%. Then you get to the Final Exam and you are timed. It is not only a four hour exam, but each question only allows four minutes. After the Final Lab, I prepared myself for the Final Exam by consolidating the slides and labs into a pretty concise cheat sheet. To no avail, the Final Exam still included many questions that could only be inferred from what was covered. I passed with an 84% but felt cheated. I'm not sure if I really got a basic understanding as the modules predicted or if I am woefully unprepared to move forward as the ... The course seemed great throughout the presentation modules. Then, when you get to the Final Lab and the Final Exam, you are completely blindsided. The modules were not adequately developed to prepare you for the finals. I had 100% through all modules. The Final Lab required hours of Google research to complete but was at least attainable because there was no time limit. I struggled to a 98%. Then you get to the Final Exam and you are timed. It is not only a four hour exam, but each question only allows four minutes. After the Final Lab, I prepared myself for the Final Exam by consolidating the slides and labs into a pretty concise cheat sheet. To no avail, the Final Exam still included many questions that could only be inferred from what was covered. I passed with an 84% but felt cheated. I'm not sure if I really got a basic understanding as the modules predicted or if I am woefully unprepared to move forward as the final might suggest. Only time will tell... Overall, I was very disappointed. I have taken several other Microsoft classes on edX and never had this type of issue. I will be much more cognizant of the reviews before I ever sign up for another!
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Get Bent profile image
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Get Bent

2/10 starsCompleted
1 month ago
If you're going to make me leave a review to finish the course, then I'm going to leave a bad one. The rest of this is to finish the character minimum limit.
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Steve Lewis profile image
Steve Lewis profile image

Steve Lewis

10/10 starsCompleted
1 month, 2 weeks ago
This gives a basic introduction to Python, and is enough to get you going in using it for Data Science courses. The setup with iPython in the labs was good to allow you to experiment with code before committing your answers.
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Danial Ahmad profile image
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Danial Ahmad

8/10 starsCompleted
1 month, 3 weeks ago
Excellent course which is concise and straight to the point with relevant practice exercises. The only down side to this course is that it is very basic in nature and sometimes as a beginner you need the extra knowledge to gain interest and confidence. Personally, I would recommend this course to someone who has prior knowledge to python like me because this course is not an introductory to python but to data science !
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Dynamik Controls profile image
Dynamik Controls profile image

Dynamik Controls

6/10 starsCompleted
1 month, 4 weeks ago
In general, the course was helpful overall for learning some of the basics of Python programming. I took this course as I familiar with C, but had not learned Python. Good introduction to Python; however, there is a major problem with this course. The final lab portion of this course is incomplete. For the final lab, there is a specific data set that the instructions say is provided to you; however, when your code tries to load this file, you receive an error message saying the file does not exist which makes it impossible to finish that particular part of the section. It doesn't factor into the overall grade that much, but does prevent someone from learning those skills.
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João Freitas profile image
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João Freitas

10/10 starsCompleted
2 months ago
Excellent course! I recommend it! If you want to learn the basics of Phyton, you come to the right place. You will learn about the basic types, how to print an output, how to import packages and so on!
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Milan Nayak profile image
Milan Nayak profile image

Milan Nayak

8/10 starsCompleted
2 months ago
I loved the course , but could have little bit more in depth so that confidence will come while solving problems in real world. Instructor was damn good , precise and perfect. Final is is bit tough not exactly related to the course taught but yes if you have practice from different sources it will have, overall its good.
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Chibuike Osigwe profile image
Chibuike Osigwe profile image

Chibuike Osigwe

8/10 stars
2 months ago
Very Understandable, the content is perfect for people who are beginners in using python for data science but must have a basic knowledge of general python especially data types, variables and mathematical operations. It's just an introductory course with links for further reading.
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Stella S profile image
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Stella S

6/10 starsCompleted
2 months ago
The course was "OK" throughout all the modules. I have some experience in R and this helped me. I would have struggled more without any coding experience. The MATERIAL provided for each module could have been better. They slides contained really little info and make it hard to review the content. The INSTRUCTOR was not always easy to understand, but the script help with that. THE FINAL LAB WAS AWFUL: most of the content was not covered in the modules, and I had to do long research by myself to get some of it done. After spending 7 hours on it I gave up; I asked for help and none was given. For the LABS in general, the feedback provided for each exercise in response to mistakes were most of the time inaccurate, wrong, and unhelpful. Again, I had to rely on google. The labs should have covered more scenarios, instead they were really superficial and didn't prepared me well for the final exam. The FINAL EXAM had several quest... The course was "OK" throughout all the modules. I have some experience in R and this helped me. I would have struggled more without any coding experience. The MATERIAL provided for each module could have been better. They slides contained really little info and make it hard to review the content. The INSTRUCTOR was not always easy to understand, but the script help with that. THE FINAL LAB WAS AWFUL: most of the content was not covered in the modules, and I had to do long research by myself to get some of it done. After spending 7 hours on it I gave up; I asked for help and none was given. For the LABS in general, the feedback provided for each exercise in response to mistakes were most of the time inaccurate, wrong, and unhelpful. Again, I had to rely on google. The labs should have covered more scenarios, instead they were really superficial and didn't prepared me well for the final exam. The FINAL EXAM had several questions asking for code that was not fully explained in the modules. For instance, in the module they teach you to extract 1 element from a data-frame, while in the exam the ask you to extract multiple elements from specific columns and rows of the data-frame. I passed the exam, and my overall passing grade was 91/100, but I think I got very limited learning.
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Mateo WishedIKnew profile image
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Mateo WishedIKnew

6/10 starsCompleted
3 months, 2 weeks ago
The course is great and it is really useful to get introduced to data science in python, but the learning is very limited when taking the free course.
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student

8/10 starsCompleted
3 months, 2 weeks ago
The course is introductory, but the assessment is beyond what the course taught. The course alone is not enough to pass the evaluations and you need to study and practice beyond the class. Class alone can make you overconfident. During the final exam, the course failed, but I could restore it quickly.
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Yangjie Li profile image
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Yangjie Li

8/10 starsCompleted
3 months, 2 weeks ago
This is the first course I learnt about Python but I had prior experience in other programming languages as a chemistry major. It took me about 20 hrs to learn the whole course and it serves as a good intro to Python for Data Science.
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Vsukma profile image
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Vsukma

8/10 starsCompleted
3 months, 4 weeks ago
For a person that has no experience with Python before but has experience in programming in general, this course has a good content. Something to learn in Lab as well that didn't get covered by the instructor. I am just missing a feedback from the Final Exam, where did I do wrong and what the correct answer to it. Also, during Final Exam in Data Lab, I encountered "errors" multiple times, especially when I need to try the code.
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Mithun Bobade profile image
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Mithun Bobade

10/10 starsCompleted
4 months, 4 weeks ago
Instructor was amazing, good examples and explanation. course should also include more functions explanation that were given in lab so that it will be more helpful. test examples are also good and on point with appropriate data
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8/10 starsCompleted
  • 1 review
  • 1 completed
5 months ago
Course: challenging for an absolute beginner like me. "Further Readings": referenced sites very useful in the labs. Labs/assessments: available when you pay for certification. Final Labs are challenging and require some wit and online research skills since many of problems require info not explicitly taught in the lectures. After completing the quizes and labs (and maybe a quick review of the lecture videos/notes) you'll be well prepared for the Final Assessment. If you're a beginner, be patient and stick with it. You can do this!
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student

8/10 starsCompleted
5 months ago
This course is very insightful and good for the beginners like me. Instructor is pretty good at explaining in a clear and concise way. Along with the training videos, we must follow the further readings page, for better and detailed understandings.
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Ahmad Anis profile image
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Ahmad Anis

6/10 starsCompleted
6 months ago
Course was good, instructor was good only problem was assessment that were not given to students that were on audit. I mean assesments are best way to analyze and they are not available to students which are on audit. Rest course covers all basics of pandas matplotlob and numpy in good manner. THanks and regards .
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Student1 profile image
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Student1

10/10 starsCompleted
6 months ago
Great course! It is very well planned. The sequence of contents is logical and allows to build solid bases.I really enjoyed the laboratories and the tests. Now I intend to take an advanced Python course. Congratulations to Microsoft and DataCamp.
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RIck Chen profile image
RIck Chen profile image

RIck Chen

8/10 starsCompleted
7 months ago
Great course! Excellent work by the instructor. The labs and the exam were very good. This course is very good for a first course in Python from a data science perspective.
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Vasileios Karagiannis profile image
Vasileios Karagiannis profile image

Vasileios Karagiannis

10/10 starsCompleted
7 months ago
Great course! Excellent work by the instructor. The labs and the exam were very good. This course is very good for a first course in Python from a data science perspective.
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Alex Soe profile image
Alex Soe profile image

Alex Soe

6/10 starsCompleted
8 months ago
The course was fine, a little bit too easy though. Then the Final Lab came along and destroyed me... we didn't learn at least 60% of the material on that lab! Totally unfair.
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student

8/10 starsCompleted
8 months ago
Great course on Python and Data Science basics. I learned a lot. If you put into the time and effort, you'll be rewarded. Make sure to work through the Final Labs and search new concepts/read documentation/practice as much as you can. You wouldn't regret when it comes to final exam - it's harder than previous labs and has a few new concepts esp. related to numpy to pandas. Good luck!
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student

6/10 starsCompleted
8 months ago
The course was good, but it starts very basic and easy and suddenly the exams and final labs get a lot harder with mistakes in text and even an image in the exam not showing. Also I registered and within a few weeks I had to complete all material and make the exam.
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yashraj basan profile image
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yashraj basan

8/10 starsCompleted
8 months, 3 weeks ago
I highly recommend beginner who are new to data science or new to numpy,pandas,matplotlib i not recommend you if you don't know python. instructor is clear and concise and it seems like he is knowledgeable when it comes numpy,matplotlib,pandas
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g schr profile image
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g schr

2/10 starsCompleted
9 months, 1 week ago
The evaluations included material that was not part of the course. The course covered much less than what is available from other online providers. I took this course to fulfill a requirement for a Microsoft professional certificate, and I am dismayed that Microsoft would use a course of this low quality.
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TOLULOPE ADEDAYO profile image
TOLULOPE ADEDAYO profile image

TOLULOPE ADEDAYO

8/10 starsCompleted
9 months, 2 weeks ago
Great course, the instructor was excellent and precise. The assessment was thorough and encompassed all that was taught by the instructor and i like the idea of getting to know ore tricks as you run through the lab. The knowledge checks could be better though, I feel it is too easy and straightforward. I like the videos, short and precise, you would have to be an extremely lazy individual to get bored watching because it only takes a few minutes I feel Datacamp or Edx could do better with the documentation though, they look too complex, jam-packed and boring. I think it will be better if Datacamp or Edx can help with the documentation by streamlining it, and taking away the extravagances making it suitable, appropriate, readable and explanatory enough for an introductory class. Nevertheless, it is a great course for a introductory class or anyone starting their python journey in Data science. It will help build a solid foundation, o... Great course, the instructor was excellent and precise. The assessment was thorough and encompassed all that was taught by the instructor and i like the idea of getting to know ore tricks as you run through the lab. The knowledge checks could be better though, I feel it is too easy and straightforward. I like the videos, short and precise, you would have to be an extremely lazy individual to get bored watching because it only takes a few minutes I feel Datacamp or Edx could do better with the documentation though, they look too complex, jam-packed and boring. I think it will be better if Datacamp or Edx can help with the documentation by streamlining it, and taking away the extravagances making it suitable, appropriate, readable and explanatory enough for an introductory class. Nevertheless, it is a great course for a introductory class or anyone starting their python journey in Data science. It will help build a solid foundation, on which you can build on.
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T G profile image
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T G

8/10 starsCompleted
9 months, 2 weeks ago
Basic course. Could take a "free" course and learn all the same stuff. Content was decent enough though, however, throughout the quizzes and labs you are asked questions about information you were not taught at all. I would not take this course again if asked to; not worth the time/money to do so.
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Dheeraj Choudhary profile image
Dheeraj Choudhary profile image

Dheeraj Choudhary

6/10 starsCompleted
10 months ago
Course is too basic to spend that much money. Course is great for beginner to get a feel of Python and Data Science but not value for money too basic course. It should have been a free course even spending 10 dollar is no justice for other instructor who are providing much more advance course for free.
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